The CMI – Country Management Index

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Country Management  Index – The CMI

About the Country Management Index ( The CMI )

blocksThe Country Management Index (The CMI) is a measure of each management team’s ability to leverage resources of land, people, and commerce. The tool was intended to give the management team of each country some feedback on how to improve their country’s economic performance.

How to Use the CMI

CMI is an important learning tool when used as an empiracle building block for assumptions about the success of policies. It was first used to select important social policies that consistently improved country wealth. The Renewable Automation Index was looking for a link between automation supports and social policy when it confirmed that a statistically-significant number of countries (5% to 10%) who complied with high-CMI Transition Economics Policy, remained in an Advancing – and not Collapse – Trending despite 72% of all countries exhibiting this Collapse Trend.

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Democratic voters too, should take note to compare their government’s past performance. The CMI sets itself apart by its simplicity and transparency; all numbers can be readily confirmed in wikipedia and similar lists online.

Simply put, GDP Export is the Wealth that any country creates for itself over time – this can easily be normalized for population differences.

Area – is the amount of land with which a country can draw resources. We consider Area because a team like the Netherlands – who produce the same GDP Export from a landmass the size of Lake Ontario, as does Canada – deserves much higher marks.

HDI – is the United Nations’ Human Development Index – a measure of education levels, longevity, and similar, also widely acknowledged to be little-considering of gaps between rich and poor.

Per-Capita Export – is one of the most desirable indicators of productivity in any economy and so we weight it as high as possible in the CMI calculations.

2016’s CMI dataset version 1.3 for example multiplies GDP Export (Wealth Creation) / Area multiplied by the United Nation’s HDI (Human Development Index) – a measure of quality of life for the average citizen within a country.

2016’s CMI dataset version 1.4 corrects for the HDI’s shortcomings in measuring Wealth Distribution too by considering “GINI”. High Wealth Distributed Countries score higher in 1.4 as Low-GINI countries are also proven to generate higher Export GDP per capita.

CMI Formula 1.3      (GDP Export / Area)   x   HDI  

CMI Formula 1.4     (GDP Export / Area)   x   HDI   /   GINI   

How to Measure your Government

The value of the CMI calculation itself is of lesser importance, rather the relative ranking between peer countries is considered the more important measure. Management Teams in the Top 10-out-of-10 Scoring Countries fall into the top fifteen countries out of all 168 countries measured by rank. These countries are considered to have 10/10 management teams, and I think most will agree that our #1, #2, and #3 position Hong Kong, Singapore, and Luxembourg qualify as excellent country management teams. Countries with rankings from 16 to 25 are 90% (or 9/10), from 26 to 40 position are 80% or 8/10. Ranks 41 to 60 are 7/10 or 70%. Ranks 71 to 120 are just 50% efficient, and then we remove one point if imports are higher than exports. In future we may remove two for extended ten-year-plus terms with higher imports.

Formula v1.3 penalizes larger countries that have not capitalized upon their greater resources – and v1.3 also does not reflect the economically important benefits of a low GINI score – see below for more about the importance of Wealth Distribution.

The Netherlands are the size of Lake Ontario yet their GDP Exports (Wealth Creation) are the same as Canada – a country with 100 times the resources and double the Netherland’s population as well. The Dutch also export more than they import; importing more than exporting dilutes wealth even further. This explains Canada’s rank of 4/10 at #100 versus the Netherlands’ #5 and a 10/10 Management Team Ranking.

Norway’s rank at #40 here seems unusual despite its model #1 HDI and #6 GINI rankings. Look to components of the formulae for a fuller explanation. Formula v1.4 of the dataset corrects v1.3’s shortcomings by including Wealth Distribution as a ranking consideration. These measures clarify to management policy-makers where opportunities to improve can be found.

V1.3    |   V1.4  (coming soon)

The G8 Countries

v1.3 Rank Rating Country
14 10/10 Germany
24 9/10 Italy
26 9/10 Japan
29 8/10 United Kingdom
30 8/10 France
60 6/10 United States
100 4/10 Canada
112 5/10 Russia

 

The G20 Countries

v1.3 Rank Rating Country
10 10/10 South Korea
14 10/10 Germany
24 9/10 Italy
26 9/10 Japan
29 7/10 United Kingdom
30 7/10 France
60 6/10 United States
61 5/10 Turkey
64 6/10 China
70 6/10 Mexico
72 6/10 Saudi Arabia
84 5/10 India
90 6/10 Indonesia
96 6/10 South Africa
100 4/10 Canada
106 5/10 Australia
112 5/10 Russia
113 5/10 Argentina
115 4/10 Brazil

 

All Countries

v1.3

#

Country GDP Export GDP Export Area
1 Hong Kong 274,027 229.6%     629,139 316
2 Singapore 295,744 190.5%     563,451 459
3 Luxembourg 60,131 203.3%     122,258 811
4 Malta 9,971 93.6% 9,334 254
5 Netherlands 853,539 82.9% 707,925  41,850
6 Belgium 524,806 82.8%     434,329     30,528
7 Qatar 202,450 75.6%     153,093    11,586
8 Switzerland 685,434 72.2%     494,541     41,284
9 Bahrain 32,898 20.0% 6,580 549
10 Maldives 2,836 111.3% 3,157 236
11 Mauritius 11,938 54.3% 6,484 765
12 Kuwait 175,831 71.6%     125,825     17,818
13 United Arab Emirates 599,000 95.2% 569,949     83,600
14 Germany 3,730,261 50.7%     90,123  357,114
15 Barbados 4,228 42.5%        1,796        308
16 Trinidad and Tobago 24,463 63.2%   15,448   2,842
17 Israel 291,567 32.9%       95,984   20,770
18 Denmark 336,701 54.3%    182,728    43,094
19 Ireland 232,077 105.3%     44,377     70,273
20 Brunei 16,111 76.2%    12,270      3,903
21 Austria 428,322 57.4%     246,028  83,871
22 Seychelles 1,445 76.3% 1,103 347
23 Lebanon 47,221 62.6%  29,537 10,452
24 Italy 2,149,485 28.6% 613,893 301,336
25 Czech Republic 208,796 77.2% 161,191 78,865
26 Japan 4,898,532 14.7% 721,554 377,930
27 Slovenia 47,990 74.7% 35,844 20,273
28 Antigua and Barbuda 1,241 44.1%    547 316
29 United Kingdom 2,678,455 42.9% 1,150,129 242,495
30 France 2,806,432 28.3% 793,659 640,679
31 Saint Kitts and Nevis 743 34.3% 254 180
32 Hungary 133,424 88.8% 118,427 93,028
33 Saint Lucia 1,336 46.0% 614 444
34 Cyprus 24,057 40.1% 9,649 9,251
35 Portugal 227,324 39.3% 89,247 92,090
36 Spain 1,393,040 31.6% 439,643 505,992
37 Poland 525,863 47.8% 251,363 312,679
38 Grenada 831 25.1% 209 260
39 Malaysia 312,434 81.7% 255,196 330,803
40 Norway 522,349 38.9% 203,089 323,802
41 Sweden 579,680 43.8% 253,842 450,295
42 Greece 242,230 30.2% 73,226 130,373
43 Saint Vincent and the Grenadines 709 27.4% 194 294
44 Lithuania 46,403 77.1% 35,791 65,300
45 Thailand 420,167 73.6% 309,117 513,120
46 Estonia 24,880 86.1% 21,417 45,227
47 Croatia 57,869 42.9% 24,849 56,594
48 Equatorial Guinea 18,532 88.5% 16,393 28,051
49 Azerbaijan 73,557 48.7% 35,837 86,600
50 Panama 40,467 71.0% 28,736 75,417
51 Jamaica 14,270 30.4% 4,342 10,991
52 Vietnam 171,222 83.9% 143,621 331,212
53 Romania 192,094 42.0%       80,641          238,391
54 Finland 267,329 38.2%     102,066          338,424
55 Bulgaria 54,481 68.4%       37,260          109,884
56 Costa Rica 49,621 35.1%       17,437            51,100
57 Dominica 498 32.8%             163              468
58 Latvia 30,886 58.8%       18,173            64,559
59 Dominican Republic 60,612 25.5%       15,468            48,671
60 United States 16,768,050 55.7%  9,344,834      9,526,468
61 Turkey 822,149 25.7%     210,881          783,562
62 El Salvador 24,259 26.4%         6,402            21,041
63 New Zealand 189,025 29.7%       56,046          270,467
64 China 9,181,204 26.4%  2,423,838      9,572,900
65 Sri Lanka 67,203 22.5%       15,101            65,610
66 Philippines 272,067 27.9%       75,934          300,000
67 Belarus 71,710 61.2%      43,872          207,600
68 Macedonia 10,767 53.9%        5,802            25,713
69 Serbia 45,520 40.8%       18,549            88,361
70 Mexico 1,259,201 31.8%     399,796      1,964,375
71 Samoa 691 30.6%            212               964
72 Saudi Arabia 748,450 51.8%     387,622      2,149,690
73 Oman 79,656 62.7%     49,904          309,500
74 Tonga 440 17.8%               78                 464
75 Jordan 33,594 42.5%       14,267            89,342
76 Cuba 78,694 20.0%       15,707          108,889
77 Bangladesh 153,505 19.5%       29,995          147,570
78 Albania 12,904 35.1% 4,523            28,748
79 Ukraine 188,350 46.9%       88,280          603,500
80 Montenegro 4,417 41.8% 1,845            13,812
81 Chile 277,043 32.6%       90,205          756,102
82 Tunisia 46,883 47.0%       22,030          163,610
83 Fiji 4,034 58.8%        2,372            18,272
84 India 1,937,797 24.8%    480,961      3,166,414
85 Bosnia and Herzegovina 17,852 32.0%        5,705            51,209
86 Venezuela 371,339 26.2%       97,179          916,445
87 Guatemala 53,797 23.7%      12,728          103,000
88 Georgia 16,127 44.7%         7,207            69,700
89 Iceland 15,330 55.7%         8,543          100,210
90 Indonesia 868,346 23.7%     206,145      1,904,569
91 Iran 492,783 32.2%     158,578      1,648,195
92 Ecuador 94,473 29.2%       27,567          276,841
93 Moldova 7,970 44.1%         3,516            33,846
94 Armenia 10,431 27.0%         2,815            29,843
95 Comoros 622 16.4%            102                 751
96 South Africa 366,060 31.1%     113,991      1,221,037
97 Swaziland 3,523 55.3%         1,948            17,364
98 Uruguay 55,708 24.0%       13,370          181,034
99 Nigeria 514,965 18.0%     92,900          923,768
100 Canada 1,838,964 30.1%   553,160      9,984,670
101 Honduras 18,569 47.9%        8,900          111,369
102 Ghana 47,830 42.2%       20,165          238,533
103 Morocco 103,836 33.7%       34,941          446,550
104 Turkmenistan 41,851 73.3%       30,660          488,100
105 Colombia 378,148 17.8%     67,424      1,141,748
106 Australia 1,531,282 19.9%     304,419      7,692,024
107 Cambodia 15,250 65.7%       10,022          181,035
108 Belize 1,624 60.9%             988            22,966
109 Egypt 255,199 17.6%       44,966      1,002,450
110 Angola 121,692 55.8%       67,880      1,246,700
111 Peru 200,269 23.7%       47,544      1,285,216
112 Russia 2,096,774 28.4%     594,855    17,098,242
113 Argentina 611,726 14.3%       87,293      2,780,400
114 Gabon 16,970 58.7%         9,965          267,668
115 Brazil 2,243,854 12.6%     281,604      8,515,767
116 Paraguay 29,208 49.4%       14,423          406,752
117 Kazakhstan 224,415 38.3%       85,839      2,724,900
118 Haiti 7,691 18.2%        1,403            27,750
119 Uzbekistan 57,210 27.7%       15,824          447,400
120 Nicaragua 11,256 40.5%         4,561          120,538
121 Libya 74,597 67.4%       50,263      1,759,540
122 Rwanda 7,601 14.4%         1,095            26,338
123 Algeria 208,764 33.1%       69,184      2,381,741
124 Kiribati 175 10.5%               18                 572
125 Vanuatu 800 47.8%             383            12,189
126 Pakistan 225,419 13.2%       29,800          881,912
127 Djibouti 1,456 57.1%            831            23,200
128 Lesotho 2,230 45.0%       1,003            30,355
129 Togo 4,158 39.4%         1,639            56,785
130 Sierra Leone 4,929 53.1%         2,617            71,740
131 Suriname 5,299 58.7%        3,108          163,820
132 Uganda 26,444 23.7%         6,275          241,550
133 Bhutan 1,781 40.9%             728            38,394
134 Kyrgyzstan 7,226 47.2%         3,409          199,951
135 Yemen 34,714 30.5%       10,581          527,968
136 Solomon Islands 1,073 54.5%             585            28,896
137 Senegal 15,152 26.2%         3,970          196,722
138 Laos 10,760 37.2%         4,005          236,800
139 Botswana 14,778 55.1%         8,146          582,000
140 Kenya 54,443 17.7%         9,653          580,367
141 Malawi 5,146 46.3%         2,384          117,600
142 Papua New Guinea 15,420 51.0%         7,864          462,840
143 Bolivia 30,601 44.2%       13,520      1,098,581
144 Guyana 2,990 84.6%         2,530          214,969
145 Nepal 18,179 10.7%         1,945          147,181
146 Zambia 22,384 41.9%         9,374          752,612
147 Tajikistan 8,506 19.2%         1,631          143,100
148 Cameroon 29,568 20.7%         6,109          475,442
149 Benin 8,307 18.3%         1,518          112,492
150 Tanzania 44,698 24.7%       11,049          945,087
151 Zimbabwe 13,490 29.5%         3,978          390,757
152 Burkina Faso 12,547 27.5%         3,449          272,967
153 Namibia 12,580 43.0%         5,411          825,615
154 Guinea 7,219 28.5%         2,055          245,857
155 Madagascar 10,612 30.1%         3,191          587,041
156 Burundi 2,549 7.4%             189            27,834
157 Liberia 1,946 32.4%             630          110,879
158 Mongolia 11,516 45.1%        5,198      1,564,110
159 Eritrea 3,438 19.5%             671          112,622
160 Ethiopia 46,017 12.5%         5,748      1,104,300
161 Mauritania 5,516 66.7%         3,680      1,030,700
162 Sudan 54,595 9.6%         5,230      1,886,068
163 Mali 10,943 31.3%         3,421      1,240,192
164 Chad 10,640 32.2%         3,423      1,284,000
165 Afghanistan 21,618 6.3%         1,358          652,230
166 Niger 7,407 23.3%         1,729      1,267,000
167 Mozambique 1,105 30.2%             333          801,590
168 Central African Republic 1,585 11.7%             185          622,984

Why is Wealth Distribution (GINI) Important?

Statistics prove that low-GINI score countries, which are those countries with better income equality, empower a greater percentage of their population to create wealth. For example, a Dutch citizen creates 50% more GDP Export (Wealth) than an American; and 200% more than a Canadian. Why? Because they can. They have employment or guaranteed incomes; they have education, healthcare, pensions, all taken care of by their taxes. They own their homes; where only 30% of Americans own homes free and clear. For more on income distribution, click here.GINICompare

Origins of The CMI

The CMI or Country Management Index was first documented in “World Peace – The Transition” in 2015.
See our forums at Twitter and Google+, read the book, and sample articles at WP Magazine at csq1.org/mag .Right-Plan-HowToWorld Peace is just a Project !Let’s get building again !Share a tweet with your friends:

Worldville is the Global Automated Society. One automation project per country https://t.co/laOTezYHZL #wpprojects pic.twitter.com/Gx3jivi1h8

— Edward Tilley (@TilleyEdward) December 29, 2015

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